Yi‐Tzu Lee

89 papers receiving 1.8k citations

Peers

Yi‐Tzu Lee
Comparison fields: 5 of 105
  • Molecular Medicine 1.2k
  • Endocrinology 481
  • Applied Microbiology and Biotechnology 128
  • Microbiology 121
  • Pharmacology 231
Replace Kwang Seung Park with:
Kwang Seung Park South Korea
Catherine Neuwirth France
Brooke K. Decker United States
Darren Wong United States
Roberta Migliavacca Italy
Danuta Stefanik Germany
Sara Martí Spain
Lucia Pallecchi Italy
Vikas Manchanda India
María García-Castillo Spain
Yi‐Tzu Lee relative to Kwang Seung Park South Korea Kwang Seung Park's profile →
Citations per field
00.5×7.7×
Kwang Seung Park · 1×
Citations per year

Countries citing papers authored by Yi‐Tzu Lee

Since Specialization
Citations

This map shows the geographic impact of Yi‐Tzu Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yi‐Tzu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Tzu Lee more than expected).

Fields of papers citing papers by Yi‐Tzu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Tzu Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yi‐Tzu Lee. The network helps show where Yi‐Tzu Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi‐Tzu Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi‐Tzu Lee Line = papers co-authored together Yi‐Tzu Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010106
2 201177
3 201276
4 201376
5 201458
6 201556
7 200953
8 200947
9 201045
10 201845
11 200844
12 201444
13 201542
14 201740
15 201738
16 201237
17 201435
18 202034
19
Clinical characteristics of patients with Acinetobacter junii infection.
200934
20 201134

About Yi‐Tzu Lee

Yi‐Tzu Lee is a scholar working on Molecular Medicine, Epidemiology, Molecular Biology, Pharmacology and Endocrinology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (59 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers), Bacterial biofilms and quorum sensing (9 papers), Vibrio bacteria research studies (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (5 papers) and Antibiotic Use and Resistance (5 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Endocrinology (481 citations), Applied Microbiology and Biotechnology (128 citations), Microbiology (121 citations) and Pharmacology (231 citations). Yi‐Tzu Lee has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Te-Li Chen, Shu‐Chen Kuo, Chang‐Phone Fung, Chien-Pei Chen, L. Kristopher Siu, Wen-Long Cho, Ya‐Sung Yang, Yung-Chih Wang, Mei-Chun Chiang and Feng‐Yee Chang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology, Journal of Antimicrobial Chemotherapy and BMC Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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